System-Level Mitigation of Undersampling ADC Nonlinearity for High-IF Radio Receivers
-
Georg Vallant
,
Michael Epp
Abstract
Over the last years ongoing advances in ADC technology have enabled RF signals to be sampled at IF frequencies. Undersampling is nowadays employed in software-defined radio or radar receivers and offers the possibility to relieve requirements in the analog receiver partition. Unfortunately, when moving to higher IF concepts, this becomes demanding for the ADC itself, because of inherent spurious-free dynamic range (SFDR) roll-off that increases with input frequency. This fact often limits the receiver's IF placement to Nyquist zone (NZ) 2. In this work the emerging concept of Digital Assistance is pursued to give the receiver access to higher NZs while making no compromise on the SFDR. We will present and discuss post-correction results for two 16-bit high-speed converters from two different vendors at 120 and 125 MSPS, respectively. The proposed system-level post-correction decomposes nonlinearity into a static and a dynamic part. For both ADCs under investigation the degraded SFDR in higher NZs could be improved by up to 15 dB using purely digital linearization technologies, thus increasing the detectability of small signals in the presence of very strong signals or interferers. Near-identical results for both ADCs confirm the general validity of the system-level correction approach.
Correction Note
Originally, also the article Li Li, Zhi-Li Zhou and Jing-Song Hong, A Novel Compact UWB Monopole Antenna with Bluetooth and Triple Notch Band was published under this DOI. Its correct DOI is 10.1515/freq-2012-1053.
©2012 by De Gruyter
Articles in the same Issue
- Frontmatter
- Editorial
- Tools for Analyzing Computing Resource Management Strategies and Algorithms for SDR Clouds
- An Optimization Algorithm for SDR Multi-Standard Systems Using Directed Hypergraphs
- A Flexible CSMA based MAC Protocol for Software Defined Radios
- A Spectrum Sensing Network for Cognitive PMSE Systems
- On the Use of the Sparse Property of the Cyclic Autocorrelation Function to Blindly Estimate the Cyclostationarity
- Extended Cyclostationary Signatures for OFDM in the Presence of Hardware Imperfections
- DSP-based Mitigation of RF Front-end Non-linearity in Cognitive Wideband Receivers
- System-Level Mitigation of Undersampling ADC Nonlinearity for High-IF Radio Receivers
Articles in the same Issue
- Frontmatter
- Editorial
- Tools for Analyzing Computing Resource Management Strategies and Algorithms for SDR Clouds
- An Optimization Algorithm for SDR Multi-Standard Systems Using Directed Hypergraphs
- A Flexible CSMA based MAC Protocol for Software Defined Radios
- A Spectrum Sensing Network for Cognitive PMSE Systems
- On the Use of the Sparse Property of the Cyclic Autocorrelation Function to Blindly Estimate the Cyclostationarity
- Extended Cyclostationary Signatures for OFDM in the Presence of Hardware Imperfections
- DSP-based Mitigation of RF Front-end Non-linearity in Cognitive Wideband Receivers
- System-Level Mitigation of Undersampling ADC Nonlinearity for High-IF Radio Receivers
